A Verdict in Tech’s Trial of the Century

Summary

WSJ Tech News Briefing

Episode: A Verdict in Tech’s Trial of the Century
Date: May 19, 2026
Host: Imani Moiz
Featured Guests: Bradley Olson (WSJ Deputy Chief Technology Editor), Vicky Ga Huang (WSJ Reporter)

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Episode Overview

This episode covers two of the day's hottest tech topics:

• The verdict in the landmark lawsuit between Elon Musk and OpenAI, unpacking what the jury’s decision means for the future of the AI industry, as well as its biggest personalities.
• A peek inside the world of competitive crypto trading, where trading meets esports in a Manhattan boxing gym.

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1. The Elon Musk v. OpenAI Trial: Analysis & Implications

Recap of the Case

• Elon Musk sued OpenAI, CEO Sam Altman, and President Greg Brockman, accusing them of abandoning OpenAI’s originally stated nonprofit mission as the company became a tech powerhouse.
• The trial pulled back the curtain on Silicon Valley’s elite, with private messages, diary entries, and personal investments coming into public view.

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Key Discussion Points

Jury’s Decision: The Technicalities

• Bradley Olson: "In the end, this came down to a technicality. So the jury decided that the claims that Elon brought... were past the statute of limitations." (02:10)
  • Claims:
    • Breach of charitable trust
    • Unjust enrichment

Was This Outcome Expected?

• Bradley Olson: "Legal experts and prediction markets... found that to be true too. So, yes, this was the outcome that was expected." (02:38)
  • Musk was an underdog from the start.
  • However, the trial exposed foundational moments of the AI industry, especially Musk’s early role and OpenAI’s 2015 nonprofit beginnings.

What’s Next for Musk? Appeal Possibilities

• Bradley Olson: "His attorney said that they want to reserve the right to appeal... And he has strong views and perspectives on what fair play is in the market." (03:21)
  • Musk has a record of appealing verdicts—cited example is his successful appeal in his Tesla pay package lawsuit.

Impact on the AI Industry

• Bradley Olson: "This trial kind of set the stage for... public listings of these three main players." (04:17)
  • SpaceX’s AI company (xAI), OpenAI, and Anthropic are all potentially headed for IPOs.
  • The trial serves as a prelude to assigning public market value to these players.

High-Profile Testimony: Regrets?

• Bradley Olson: "Anytime you get people like Elon Musk in a trial setting, it’s unusual. Inside a federal courthouse, you... project an air of humility. When he faced cross examination, he pushed back... there was kind of a bit of a joust." (05:06)
  • Neither Musk nor Altman revealed anything overtly regrettable, but highly personal details surfaced due to the adversarial nature of the trial.

The Trial’s Legacy

• Bradley Olson: "We will look back on it as something that litigated the foundational moments of the AI boom... it also kind of brought us new perspective and new information about some of these figures at the heart of this technological revolution." (06:08)

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Notable Moments & Quotes

• On the nature of the dispute:
  • "Who made a thing happen, who is the author of it. A lot of this trial ended up being about that." (03:54)
• On the industry’s trajectory:
  • "This trial kind of set the stage... is another marker of OpenAI kind of clearing another challenge or hurdle in its path to a public listing." (04:54)
• On testimony dynamics:
  • "You get to witness this kind of acrimonious back and forth between these, you know, larger than life figures." (05:18)

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2. Inside the Arena: Crypto Trading as a Spectator Sport

Setting the Scene: The "Legend Trade" Tournament

• Live event held in an underground Manhattan boxing gym where eight traders compete in the ring.
• Each starts with $25,000 of paper money; winner takes $10,000+ and a Japanese katana.
• "The winner walks away with $10,000 and a Japanese katana." (07:51)

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Key Points from Vicky Ga Huang

Making Trading Public Entertainment

• "Trading in crypto has always been kind of a phenomenon... There could be like factions or tribes. So it’s naturally kind of like a battleground." (08:51)

Spectacle and Stakes

• Traders are often famous online personalities; their reputation is on the line.
• Vicky Ga Huang: "Some of them are pseudonymous, they have online personalities and they have a huge following. So they have fans who would follow them and copy trade with them..." (09:42)

Skill Versus Luck

• Even when using "paper money", traders report feelings of authentic adrenaline—yet most advise real-world caution.
• Vicky Ga Huang: "...many of them gave pretty sensible answers about how you need to have a certain amount of money you can afford to lose..." (10:02)

Gamification & Audience Participation

• Spectators bet in real time on platforms like Polymarket, adding "another dimension to the entertainment and social energy" (10:51).
• Vicky Ga Huang: "You can not just watch, you can copy trade the trader you're betting on. You can also bet on who is going to win the competition with your own real money." (10:56)

The Blurring of Trading and Entertainment

• This trend transcends crypto; part of a broader shift in retail investing, mirroring the rise of meme stocks.
• Vicky Ga Huang: "Investors today... are demanding a more fun, social, and immersive way to trade. And the lines between trading and entertainment are becoming more and more blurred." (11:27)

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3. Organizational AI Adoption Insights (IBM Consulting Segment)

Key Points from Caroline Roach (IBM)

• "Delivering real business results with AI starts with organizational alignment..." (07:02)
• Main challenges in AI deployment are not technological, but a failure to define problems and align across teams.
• "The technology is really good, but if you’re not changing your organizational alignment... you’re not going to see real value with it." (12:46)
• Companies that set clear goals and priorities—and align incentives and workflows—will see the greatest business value from AI.

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Timestamps for Key Segments

• The Musk v. OpenAI Verdict – [00:19]–[06:30]
  • Jury decision & legal analysis: [02:10]
  • Industry impact: [03:54]
  • Expert/human angle: [05:06]
  • Historical significance: [06:08]
• Crypto Trading as a Sport – [07:38]–[11:57]
  • Inside the event: [08:24]
  • Gamification & audience engagement: [10:45]
  • Big picture trends: [11:27]
• AI Adoption (Sponsored Section) – [00:00], [07:02], [12:21]

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Conclusion

This episode spotlights Silicon Valley’s ongoing power struggles and the evolving landscape of both AI and retail trading. The Musk/OpenAI verdict marks a turning point in the history of artificial intelligence, highlighting both legacy-building and reputational risk amongst tech’s most powerful. Meanwhile, the "crypto trading as esports" phenomenon reveals how deeply the worlds of tech, finance, and entertainment have become intertwined.

Memorable Takeaway:
"We will look back on it as something that litigated the foundational moments of the AI boom."
—Bradley Olson ([06:08])

Transcript

[Caroline Roach]

Many companies are struggling to scale their AI deployments or even move them past the pilot stage. Often the problem isn't technology, but organizational misalignment around goals, processes and incentives. At the break, join Caroline Roach, senior Partner, IBM Consulting, to learn why.

[Imani Moiz]

Welcome to Tech News briefing. It's Tuesday, May 19th. I'm Imani Moiz for the Wall Street Journal. After several weeks of testimony, we've got a verdict in the landmark trial between elon Musk and OpenAI. We're unpacking the jury's decision and what it could mean for the future of the AI industry. Then crypto trading is getting the esports treatment. Eight traders step into the arena. Every man for themselves. Last two standing go head to head. Winner takes all. Enter the arena. In Lower Manhattan, a boxing gym has become home to a new frontier of competition, a live trading battle. We'll take you inside the ring for one of these tournaments, But first we're turning back to the legal battle. Yesterday, a jury unanimously dismissed Elon Musk's claims against OpenAI, ending a nearly month long trial centering one of Silicon Valley's biggest power struggles. What started as a disagreement between co founders became a legal fight that gripped the tech world. Elon Musk sued OpenAI and CEO Sam Altman, accusing the startup of abandoning its original nonprofit mission as it transformed into one of the most valuable private companies in the world. The trial also pulled back the curtain on some of the most powerful personalities in tech, surfacing private text messages, diary entries, and details about Altman's personal investments. WSJ Deputy Chief Technology editor Bradley Olson joins us now to explain the verdict and what it could mean for the future of the AI industry. And before we get into it, News Corp, the owner of the Wall Street Journal, has a content licensing partnership with OpenAI. So, Brad, walk me through the jury's decision.

[Bradley Olson]

Yeah. In the end, this came down to a technicality. So the jury decided that the claims that elon brought against OpenAI and Sam Altman and OpenAI president Greg Brockman on the legal claims, which were breach of charitable trust, and then the other one was unjust enrichment, that both of those were past the statute of limitations. And so the judge accepted that verdict and dismissed the claims.

[Imani Moiz]

Is this the outcome that legal analysts were expecting?

[Bradley Olson]

You know, we did a story before the trial basically saying that Musk was an underdog in the case. And we even looked at prediction markets which had kind of found that to be true too. Legal experts and prediction markets. And so, yes, this was the outcome that was expected. However, There was a lot of evidence that kind of brought out, maybe you could say the foundation story of AI this was back in 2015. Elon Musk provided nearly 40 million in funds for OpenAI's nonprofit. And that's kind of the start of the AI revolution. Or one could look at the AI revolution as having started or heavily accelerated, you know, with those steps.

[Imani Moiz]

So now that this verdict is in, what's next for Elon Musk? Can he appeal?

[Bradley Olson]

Yes, his attorney said that they want to reserve the right to appeal. He does have a track record, of course, of appealing and has won some appeals. One of the most famous that he won on appeal was a lawsuit over his pay package at Tesla. And he has strong views and perspectives on what fair play is in the market. And if he feels like he's been disadvantaged in any way, I think he's happy to settle the matter in court.

[Imani Moiz]

We just got this verdict, so it may take time before we know the full extent of this. But how has the trial impacted the AI industry at large?

[Bradley Olson]

Well, I think in the end, anytime there's sort of a lot of information coming out and a dispute about who is responsible for something, right? Who made a thing happen, who is the author of it. I think a lot of this trial ended up being about that. Elon kind of reminding everyone that he was there from the foundation of this thing and could even be considered a co founder or someone who was in at the ground floor when OpenAI really became a thing, became a new company. You know, the next step that we see is the kind of the public listings of these three main players. You know, SpaceX, Elon Musk, his rocket company, now owns his AI company, which was called XAI, and that's headed toward an IPO in less than a month. And then you also have OpenAI potentially doing an IPO, and then its rival Anthropic also doing an IPO. So there's going to be kind of a public market value attached to all these companies very soon. And so I think this trial kind of set the stage for that and is another marker of OpenAI kind of clearing another challenge or hurdle in its path to a public listing.

[Imani Moiz]

Do you think any of the witnesses regret their testimony or what came out in court?

[Bradley Olson]

That's hard to say. I mean, it's a great question. Anytime you get people like Elon Musk in a trial setting, it's unusual. How many times does anyone tell Elon Musk what to do? But inside a federal courthouse, you kind of project an air of humility And I think he was trying to give the jury his perspective on what happened. And when he faced cross examination, he pushed back on a lot of the questions and there was kind of a bit of a joust. You know, I don't know that he said anything in his testimony that he would say he regretted, but you get to witness this kind of acrimonious back and forth between these, you know, larger than life figures. It was similar for Sam Altman. He was challenged very heavily in cross examination. I don't know that he revealed anything he didn't want to. But I think with these high stakes business litigation trials, whoever wins or loses, a lot of detail comes out about these people that if they were choosing, they probably would choose to keep private.

[Imani Moiz]

When we look back on this case in a year or two, what do you think the takeaway is going to be?

[Bradley Olson]

I think we will look back on it as something that litigated the foundational moments of the AI boom. And then I think it also kind of brought us a new perspective and new information about some of these figures that are at the heart of this new technological revolution. So I think it'll be remembered for that, if nothing else.

[Imani Moiz]

That was WSJ tech editor Bradley Olson. What do you make of the verdict? If you're a listener on Spotify, let us know in a comment coming up. We're taking you inside a Manhattan boxing gym that's become home to a different form of competition, crypto trading. That's after the break.

[Caroline Roach]

Delivering real business results with AI starts with organizational alignment, says Caroline Roach, senior partner, IBM Consulting.

You need to understand what problem you're solving, really commit yourself to it, and then be clear on how you're going to change the way you work to deliver those outcomes. With AI as a tool, but not the only tool.

If deployments aren't optimized to how work gets executed, ROI can suffer as programs stall and adoption lags.

Alignment is difficult to achieve because people are rushing to a solution without first defining the problem.

Good evening and welcome for the first

[Imani Moiz]

time ever, welcome to the Legend Trade

[Caroline Roach]

series presented by Pauly Market. We've got eight traders that are going

[Imani Moiz]

to be entering this arena in just a moment. When the announcer calls it an arena, he means that literally. Inside the Church street boxing gym, eight players sit inside the ring, starting with $25,000 of paper money and battling through three rounds of trading while excited spectators watch from the crowd and online livestream. The winner walks away with $10,000 and a Japanese katana. WSJ reporter Vicky Ga Huang went to see it firsthand and is here to tell us all about it. And before we get started, we should just note polymarket has a data partnership with Dow Jones, the publisher of the Wall Street Journal. Okay, Vicki, so you walk into this event. What did you see?

[Vicky Ga Huang]

I walked into this boxing gym, which is underground, so the lighting was quite dark. And I saw a lot of monitors, a lot of cords, and a lot of screens showing the traders that are sitting inside the boxing ring. And obviously there was just a lot of people talking with each other and socializing.

[Imani Moiz]

So how did trading become a spectator sport?

[Vicky Ga Huang]

Trading in crypto has always been kind of a phenomenon in the sense that the cryptocurrencies trade 247 and it's a global market. So because cryptocurrency is the kind of space where you have all these different currencies and some traders like this type of tokens more and others like other tokens more, there could be like factions or tribes. So it's naturally kind of like a battleground. And gradually it's evolved into this type of high production event where the companies that sponsor these competitions actually hire commentators. They put on live streams for these competitions. They also invite a lot of these professional crypto traders to join these competitions.

[Imani Moiz]

What's on the line for the people competing in these competitions?

[Vicky Ga Huang]

Their reputation to defend. Some of them are pseudonymous, they have online personalities and they have a huge following. So they have fans who would follow them and copy trade with them when they're in these competitions.

[Imani Moiz]

How much of these tournaments are skill based versus just gambling?

[Vicky Ga Huang]

I guess that's the perennial question of trading these days. There's been a lot of discussion about gamification of trading and investing. And in this sense, even though they're trading paper money, which is not real money, a lot of the traders I talked to said they felt the adrenaline rush, they felt the excitement and thrill as if it's trading their real money. But when you ask them what they trade quite like this in real life, many of them gave pretty sensible answers about how you need to have a certain amount of money that you can afford to lose for these type of high leverage trading strategies. And you also need to have money that you put away for long term investing.

[Imani Moiz]

And in some cases the spectators are placing bets themselves. Can you tell us a little bit about that?

[Vicky Ga Huang]

The spectators as well as the audience watching the live stream are placing bets on the prediction markets platform, polymarket to bet who's going to be the winner. And that adds another dimension to the sort of entertainment and social energy of the event in the sense that you can not just watch, you can copy trade the trader you're betting on. You can also bet on who is going to win the competition with your own real money.

[Imani Moiz]

Is this phenomenon unique to crypto culture, or does it say something broader about where retail investing is headed?

[Vicky Ga Huang]

I don't think it's unique to crypto trading because we've also just seen the rise of meme stocks and buying the dip as sort of this perennial condition in the stock market. It's just showing that investors today, especially this Internet native generation, are demanding a more fun, social and immersive way to trade. And the lines between trading and and entertainment are becoming more and more blurred. For better or worse.

[Imani Moiz]

That was WSJ reporter Vicky Gehwang. And that's it for Tech News Briefing. If you're a listener on Spotify, be sure to leave us a comment. Today's show is produced by Julie Chang and Danny Lewis, with supervising producer Katie Ferguson. I'm Imani Moiz for the Wall Street Journal. We'll be back later this morning with TNB Tech Minute. Thanks for listening.

[Caroline Roach]

Scaling AI successfully requires more than the right technology Here again is Caroline Roach, Senior Partner, IBM Consulting.

The biggest thing that we were talking about a year ago is what model to use, and the biggest thing that I'm talking about with my clients now is how do I drive change within my organization.

Companies able to identify correct and then avoid misalignment will be best positioned to deliver meaningful business value from AI.

The organizations that are the most successful set very clear targets and have several priorities that are very clear across the enterprise. The technology is really good, but if you're not changing your organizational alignment, not incentivizing your people correctly, not looking at workflows, you're not going to see real value with it.

Visit IBM.com thinkleadership to learn how building organizational alignment can help deliver AI deployments that scale and drive growth.

[Imani Moiz]

This content was created by custom content

[Caroline Roach]

from WSJ, a unit of the Wall

[Imani Moiz]

Street Journal Advertising department.